Extract coordinate data and metadata from GADGET-4 HDF5 snapshots.
npx skills add https://github.com/hfoote/snap-vis --skill snap-vis-loader
Please help me install this Agent Skill. Skill: snap-vis-loader Source: https://github.com/hfoote/snap-vis/tree/main/.gemini/skills/snap-vis-loader Command: npx skills add https://github.com/hfoote/snap-vis --skill snap-vis-loader
Reads GADGET-4 HDF5 snapshots and extracts coordinate data and metadata to enable fast, reliable 3D visualization.
Load the first GADGET-4 snapshot and extract coordinates and header metadata for visualization.
High-intent search queries and answers about installing and using this skill.
You can load and extract coordinate data and metadata from GADGET-4 HDF5 snapshots using h5py for efficient I/O, returning coordinates with shape (N, 3) and metadata like BoxSize and Time for visualization.
The best way to extract particle coordinates from GADGET-4 snapshots is by subsetting particle types from the PartTypeX groups, which allows you to isolate specific data and apply coordinate transformations for your visualization pipeline.
Yes, you can subset particle types in GADGET-4 HDF5 files and apply downsampling to maintain interactive visualization performance, extracting only the necessary coordinate data from the specified PartTypeX groups.
Yes, this approach works across multiple GADGET-4 snapshots, allowing you to load and extract coordinate data and metadata sequentially to support time-series 3D visualization pipelines.
When loading GADGET-4 HDF5 files, the exposed metadata includes BoxSize and Time, which are extracted alongside the coordinate data from the Header group to support 3D visualization pipelines.
To handle coordinate transformations when extracting GADGET-4 snapshot data, the loading process supports transforming coordinates directly after reading them from the PartTypeX groups to align with your 3D visualization requirements.
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